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dc.contributor.authorWenzel, Marius
dc.contributor.authorMüller, Berndt Marino
dc.contributor.authorPettitt, Jonathan
dc.date.accessioned2021-03-23T11:05:01Z
dc.date.available2021-03-23T11:05:01Z
dc.date.issued2021-03-22
dc.identifier.citationWenzel , M , Müller , B M & Pettitt , J 2021 , ' SLIDR and SLOPPR : flexible identification of spliced leader trans-splicing and prediction of eukaryotic operons from RNA-Seq data ' , BMC Bioinformatics , vol. 22 , 140 . https://doi.org/0.1186/s12859-021-04009-7en
dc.identifier.issn1471-2105
dc.identifier.otherPURE: 190248617
dc.identifier.otherPURE UUID: f24546a2-cb58-4077-b710-a293764d6193
dc.identifier.otherORCID: 0000-0003-0093-368X
dc.identifier.otherORCID: 0000-0003-1279-5421
dc.identifier.otherORCID: 0000-0001-7988-6833
dc.identifier.otherORCID: /0000-0003-1279-5421/work/91892299
dc.identifier.otherScopus: 85103114076
dc.identifier.urihttps://hdl.handle.net/2164/16101
dc.descriptionAcknowledgements The authors thank Bernadette Connolly for helpful discussions and Andreea Marin, David MacLeod and Lucrezia Piccicacchi for testing the pipelines. The authors acknowledge the support of the Maxwell and MacLeod computer clusters funded by the University of Aberdeen. Funding This work was supported by the Biotechnology and Biological Sciences Research Council [BB/J007137/1 to JP and BM, and BB/T002859/1 to BM and JP]. The funding body had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.en
dc.format.extent30
dc.language.isoeng
dc.relation.ispartofBMC Bioinformaticsen
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the mate- rial. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creativecommons.org/licenses/by/4.0/.en
dc.subjectSpliced-leader trans-splicingen
dc.subjectEukaryotic operonsen
dc.subjectPolycistronic RNA processingen
dc.subjectRNA-seqen
dc.subjectGenome annotationen
dc.subjectChimeric readsen
dc.subject5′ UTRen
dc.subjectQH301 Biologyen
dc.subjectBiotechnology and Biological Sciences Research Council (BBSRC)en
dc.subjectBB/J007137/1en
dc.subjectBB/T002859/1en
dc.subjectSupplementary data availableen
dc.subject.lccQH301en
dc.titleSLIDR and SLOPPR : flexible identification of spliced leader trans-splicing and prediction of eukaryotic operons from RNA-Seq dataen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciences (Research Theme)en
dc.contributor.institutionUniversity of Aberdeen.Clinical Medicineen
dc.contributor.institutionUniversity of Aberdeen.Institute of Medical Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Medical Sciencesen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/0.1186/s12859-021-04009-7


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